Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations.
Florence ForbesNathalie PeyrardPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2003)
Keyphrases
- hidden markov random fields
- model selection criteria
- model selection
- selection criteria
- expectation maximization
- semi supervised clustering
- selection criterion
- information criterion
- closed form
- probabilistic model
- graph clustering
- free energy
- marginal likelihood
- k means
- variational methods
- cross validation
- markov random field
- semi supervised
- sample size
- high dimensional data
- least squares
- upper bound
- feature space